His main research concerns Econometrics, Market segmentation, Segmentation, Service and Advertising. His Econometrics research is multidisciplinary, relying on both Latent class model, Mathematical economics, Preference and Matrix. His Market segmentation research is multidisciplinary, incorporating perspectives in Market structure, Probabilistic logic, Cluster analysis and Scanner panel data.
His Segmentation study combines topics from a wide range of disciplines, such as Structural equation modeling, Unobservable, Mixture model, Value and Industrial organization. Wagner A. Kamakura has researched Service in several fields, including Mass marketing and Cross-selling. His studies deal with areas such as Quality, Marketing and Product as well as Context.
His primary areas of study are Econometrics, Marketing, Segmentation, Statistics and Advertising. His Econometrics research includes elements of Probabilistic logic and Latent variable. In his study, Quality is strongly linked to Product, which falls under the umbrella field of Marketing.
He studied Segmentation and Market segmentation that intersect with Unobservable. His study in the fields of Multivariate statistics and Contingency table under the domain of Statistics overlaps with other disciplines such as Independent samples and Variable. His biological study spans a wide range of topics, including Context, Cross-selling and Database marketing.
His primary scientific interests are in Marketing, Sample, Econometrics, Advertising and Marketing research. His study explores the link between Marketing and topics such as Profit that cross with problems in Latent variable and Product category. Wagner A. Kamakura combines subjects such as Choice set, Unobservable and Aggregate with his study of Sample.
His Econometrics study combines topics in areas such as Binary response and Parametric statistics. The concepts of his Marketing research study are interwoven with issues in Spurious relationship, Predictive validity, Space and Consumer behaviour. Wagner A. Kamakura integrates Data mining and Automotive industry in his research.
His primary areas of investigation include Marketing, Marketing research, Econometrics, Perspective and Profit. His Marketing study frequently links to other fields, such as Advertising. His research in Marketing research intersects with topics in Social change, Development economics and Consumer behaviour.
The various areas that Wagner A. Kamakura examines in his Consumer behaviour study include Competition, Marketing science and Space. His research in Econometrics intersects with topics in Affect and Aggregate expenditure. His Profit research includes themes of Product category and Sales management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics
Vikas Mittal;Wagner A. Kamakura.
(2001)
Market Segmentation: Conceptual and Methodological Foundations
Michel Wedel;Wagner A. Kamakura.
(1997)
A Probabilistic Choice Model for Market Segmentation and Elasticity Structure
Wagner A. Kamakura;Gary J. Russell.
(1989)
Structural Analysis of Discrete Data with Econometric Applications
Wagner Kamakura;C. F. Manski;D. McFadden.
Journal of Marketing Research (1982)
The Economic Worth of Celebrity Endorsers: An Event Study Analysis:
Jagdish Agrawal;Wagner A. Kamakura.
(1995)
Measuring brand value with scanner data
Wagner A. Kamakura;Gary J. Russell.
(1993)
Value-System Segmentation: Exploring the Meaning of LOV
Wagner A. Kamakura;Thomas P. Novak.
(1992)
Assessing the Service-Profit Chain
Wagner A. Kamakura;Vikas Mittal;Fernando de Rosa;José Afonso Mazzon.
(2002)
Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models
Scott A . Neslin;Sunil Gupta;Wagner Kamakura;Junxiang Lu.
(2006)
Country of origin: A competitive advantage?
Jagdish Agrawal;Wagner A Kamakura.
(1999)
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